Finally, we evaluate on the challenging cross-domain setting proposed by [1]}, where models trained on mini-ImageNet base classes are evaluated on test classes from CUB.
We evaluate on three sets of CUB test classes: the split from [1]} (common in prior work), the split from [3]} (used in Sec. REF ), and the full set of 200 CUB classes.
As shown in Table REF , our FRN model from Sec. REF  outperforms previous methods by a wide margin.
